CN114743367B - Micropower wireless network communication method based on biological fission algorithm - Google Patents
Micropower wireless network communication method based on biological fission algorithm Download PDFInfo
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- CN114743367B CN114743367B CN202210401845.6A CN202210401845A CN114743367B CN 114743367 B CN114743367 B CN 114743367B CN 202210401845 A CN202210401845 A CN 202210401845A CN 114743367 B CN114743367 B CN 114743367B
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
A micropower wireless network communication method based on a biological fission algorithm belongs to the technical field of communication and is realized based on a low-voltage meter reading system. The communication step comprises: 1) Setting a concentrator as a starting point; 2) Calculating the association degree and the average association degree of all the user electric meters which are not networked and the starting point; 3) The user electric meters with the relevance degree larger than the average relevance degree are assembled into a local area network with a starting point as a summary node; 4) Selecting a user electric meter which is not a summary node in the established local area network as a starting point; 5) Repeating the steps 2) -4) until the quantity of the user electricity which is not networked is less than P% of the total quantity; 6) And merging the rest user meters which are not networked into the local area network which is constructed last time. The method can quickly and accurately realize the ad hoc network, reduce the loss rate of the message, delay the waiting time, improve the micro-power transmission efficiency and ensure the stable reliability of data transmission.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a micropower wireless network communication method based on a biological fission algorithm.
Background
The micropower wireless network communication technology has the advantages of low power and low construction cost, and is developed fastest and applied most widely in the technical field of information communication. At present, the traditional wireless cellular communication network needs the support of fixed network equipment (such as a base station) to carry out data forwarding and user service control; in practical use, the traditional wireless cellular communication network is easily interfered by the outside due to geographical limitation of fixed network equipment, and has the characteristics of low networking efficiency, message loss, time delay, and low communication stability and reliability.
In order to solve the above problems, a communication method with high networking efficiency and high voltage resistance and stable and reliable data transmission in a local communication network is urgently needed.
Disclosure of Invention
The invention aims to solve the technical problem of providing a micropower wireless network communication method based on a biological fission algorithm, which can quickly and accurately self-organize a network by improving the algorithm, improve the pressure resistance, reduce the loss rate and waiting time delay of messages, greatly improve the micropower transmission efficiency and further ensure the stable reliability of data transmission of a local communication network.
The algorithm principle of the invention is as follows: the concentrator acquires a networking command of the master station server, and then issues the networking command to the user ammeter group, and the networking idea is as follows: firstly, defining a networking starting point, namely a concentrator, then calculating the association degree of each user electric meter relative to the starting point, and selecting the user electric meters with the association degree larger than the average association degree to form a local area network; selecting user electric meters which are not gathering nodes in the established local area network as preselection starting points respectively, then calculating the association degree of the user electric meters which are not networked relative to the preselection starting points, selecting the preselection starting point with the maximum average association degree with the user electric meters which are not networked as the gathering nodes of the next local area network, and establishing the user electric meters which are not networked and have the association degree with the starting points larger than the average association degree into the local area network taking the starting points as the gathering nodes; merging the user electric meters which are not networked with the local area network which is recently established until the user electric meters which are not networked are less than P% of the total number of the user electric meters, and finishing the algorithm; and sequentially connecting and managing all networking starting points step by step to form a network architecture for managing a plurality of local area networks step by step.
The technical scheme adopted by the invention is as follows: a micropower wireless network communication method based on a biological fission algorithm is realized based on a low-voltage meter reading system, the low-voltage meter reading system comprises a main station server, a concentrator and a user electric meter group, the concentrator performs data interaction with the main station server by means of a serial port communication module, and the concentrator and the user electric meter perform data interaction by means of a micropower wireless communication module, and the wireless network communication method comprises the following steps:
1) Networking;
2) A communication step;
the networking step comprises:
1.1 All the user meters are set to the non-networking state; the concentrator is set to the starting point,
1.2 Calculate the relevance and average relevance of all non-networked consumer meters to the starting point,
1.3 The user electric meters with the relevance degree larger than the average relevance degree are assembled into a local area network taking the starting point as a gathering node,
1.4 Selecting a user electric meter which is not a summary node in the established local area network as a starting point;
1.5 ) repeating steps 1.2) -1.4) until the amount of un-networked consumer electricity is less than P% of the total;
1.6 Incorporate the remaining unmanaged user meters into the recently constructed local area network;
the communication step includes:
2.1 ) information delivery: the concentrator sends information, and the user ammeter receives the information; if the user electric meter is a summary node, continuing to send the received information;
2.2 Information upload): the user ammeter uploads information to a gathering node of a local area network where the user ammeter is located; and if the summarizing node is a user electric meter, the summarizing node uploads the information to a superior summarizing node after receiving the information until the information reaches the concentrator.
The beneficial effects produced by adopting the invention are as follows: the algorithm of the invention can quickly and accurately self-organize the network and select the summary nodes with good communication, namely the networking starting points of each local area network, so as to form a network architecture for managing a plurality of local area networks; the communication quality between the user electric meters and the summary nodes in each local area network is good, and the loss rate and the waiting time delay of the messages are low; the communication quality between the step-by-step connected summary nodes is good according to the connection sequence, so that the loss rate and the waiting time delay of messages between local area networks are low, and the data transmission efficiency, the stability, the reliability and the pressure resistance of the whole network are improved.
Drawings
FIG. 1 is a schematic structural diagram of a low-pressure meter reading system;
FIG. 2 is a user electric meter profile of an embodiment of the present invention;
FIG. 3 is a diagram of a network architecture formed in accordance with one embodiment of the present invention;
FIG. 4 is a diagram of a network architecture formed in accordance with an embodiment of the present invention;
fig. 5 is a schematic diagram of the packet loss ratio comparison between the algorithm of the present invention and the conventional flooding algorithm.
Detailed Description
Referring to the attached drawings 1-2, the low-voltage electric meter reading system mainly comprises a concentrator, a user electric meter and a main station server, wherein the concentrator is used for data interaction between a user electric meter group and the main station server. The concentrator and the user electric meter are provided with micro-power wireless communication modules, and the concentrator interacts with the master station server through the serial port module.
The wireless network communication method comprises the following steps:
1) Networking;
2) A communication step;
the networking step comprises:
1.1 All the user electricity meters are set to be in an unmanaged state; the concentrator is set to the starting point,
1.2 Calculates the association and average association of all non-networked user meters with the starting point,
1.3 The user electric meters with the relevance degree larger than the average relevance degree are assembled into a local area network taking the starting point as a summary node,
1.4 Selecting users which are not summary nodes in the established local area network as starting points;
1.5 ) repeating steps 1.2) -1.4) until the number of ungated meters is less than P% of the total;
1.6 Incorporate the remaining unmanaged user meters into the recently constructed local area network;
the communication step includes:
2.1 ) information delivery: the concentrator issues information, and the user ammeter receives the information; if the user electric meter is a summary node, continuing to send the received information;
2.2 Information upload): the user ammeter uploads information to a summary node of a local area network where the user ammeter is located; and if the summarizing node is a user electric meter, the summarizing node uploads the information to a superior summarizing node after receiving the information until the information reaches the concentrator.
The value range of the P% is 4-6%.
And adding a concentrator at the position of the user electric meter as a summary node, wherein the added concentrator replaces the user electric meter as the summary node of the local area network, and the user electric meter is removed from the local area network.
In practical application, the communication capacity of the user electric meter is possibly limited, and the function of the summary node cannot be completed. In order to solve the problem, the concentrator is additionally arranged at the position of the user electric meter selected as the summary node, the additionally arranged concentrator replaces the user electric meter to be used as the summary node of the local area network, other nodes in the network are unchanged, and the user electric meter used as the original summary node is removed from the network. The communication quality in the original network can be kept unchanged due to the substantially same location.
The concentrator is additionally arranged to communicate with the master station server through a serial port, the communication mode can be wired (such as optical fiber and HPLC) or wireless (such as 4G and 5G), a plurality of parallel networks are formed, the concentrator (summary node) of each network directly communicates with the master station server, and the time delay of step-by-step communication is reduced.
The networking steps in the micropower wireless network communication method are embodied, and the method comprises the following steps:
step A, setting all user electric meters to be in an unorganized state, and calculating:
wherein the content of the first and second substances,
the position value of the t-th user electric meter;
when t =0 is the relative position value of the t-th user electric meter,
is the relative position value of the concentrator;
the value ranges of a and b are between 0 and 10; m represents the maximum number of user electric meters;
setting a concentrator as a starting point;
step B, calculating the association degree and the average association degree of the user electric meters which are not networked and the starting point;
wherein, the formula of the degree of association is:
the average correlation formula is:
wherein: m and n respectively represent weight, and the values of m and n are between 0 and 1 and satisfy m + n =1; the value range of epsilon is more than 0 and less than or equal to 10;
the value range is 0 <
≤1；
Representing the packet loss rate between the starting point and the user ammeter j; s is the number of user meters that are not networked;
step C, constructing a local area network by taking the initial point as a summary node of the user electric meters which are not networked and have the relevance degree larger than the average relevance degree;
step D, taking the user electric meters which are not the summary nodes in the recently constructed local area network as preselected starting points, assigning position values to the preselected starting points and the user electric meters which are not networked again, calculating relative position values, and then calculating the association degree and the average association degree of the preselected starting points and the user electric meters which are not networked according to the method in the step B;
e, selecting a preselected starting point with the maximum average correlation degree with the user electric meters which are not networked as a summary node according to the result of the step D;
step F, selecting the non-networked user electric meters with the association degree of the summary nodes selected in the step E larger than the average association degree of the non-networked user electric meters and the summary nodes, and constructing a local area network with the summary nodes;
g, repeating the steps D, E and F until the number of the user electric meters which are not networked is less than P% of the total amount, and merging the rest user electric meters which are not networked into the local area network which is recently established;
and step H, if the user electric meter is used as a summary node, the summary nodes are connected and managed step by step to form a network architecture for managing a plurality of local area networks step by step.
The formula of the reset position value in the step D is as follows:
wherein, the first and the second end of the pipe are connected with each other,
represents the new location value of the r-th user meter,
a position value representing the last starting point,
represents the position value of the last summary node of the r-th user meter,
representing the relevance of the last summary node and the last summary node when the user electric meter r is calculated; the value range of beta is 0-1; w has a value in the range of 0<w<1。
In actual use, the concentrator sends out commands to the user electric meters, the local area networks are determined step by step through the algorithm of the invention until all summary nodes, namely networking starting points, are selected, and the networking starting points are sequentially connected and managed step by step to form a network architecture for managing a plurality of local area networks step by step.
Giving a simulation example I according to the actual situation; in the example, 50 user electric meters are provided, the automatic networking technology of the user electric meters is realized through an algorithm, an optimal management node and a planning path are provided, and the effect graph is shown in fig. 2 and 3 and the specific steps are as follows:
the first step is as follows: selecting concentrator No. 0 as the first starting point, coding the physical position according to the number 1-50 of user's electric meter to give position value, and then adopting expression function
To define a relative location value for the location of the user meter.
And (4) coding position assignment, namely assigning values from small to large according to the distance relative to the physical distance of the starting point.
The second step is that: calculating the association degree and the average association degree of each user electric meter and the networking starting point, wherein the calculation result is as follows:
and the relevance degrees of the No. 1-19 user electric meters and the No. 25 user electric meters are greater than the average relevance degree, the user electric meters form a local area network, and the concentrator is used as a management node of the local area network.
The third step: selecting No. 1-19 user electric meters and No. 25 user electric meters as starting points respectively, recoding and assigning values to the user electric meters which are not networked, and then calculating the association degree and the average association degree between the user electric meters which are not networked and the starting points;
the fourth step: in the third step, the average relevance of the local area network constructed by the number 25 user electric meter is the largest, the number 25 user electric meter is formed as a starting point, and the local area network of the number 20-24 user electric meters, the number 26-28 user electric meters, the number 30-34 user electric meters and the number 42 user electric meters is managed;
the fifth step: referring to the third step and the fourth step, forming a No. 42 user electric meter as a starting point, and managing a local area network of No. 35-41 user electric meters and No. 43-48 user electric meters;
and a sixth step: because the user electric meters which are not networked account for 4% of the total number of the user electric meters, within the judgment threshold value of the algorithm ending condition, the number 49 and the number 50 user electric meters are combined into a local area network consisting of the number 35-41 user electric meters and the number 43-48 user electric meters;
eighth step: and connecting the concentrator No. 0, the user electricity meter No. 25 and the user electricity meter No. 42 step by step at a time to serve as step-by-step management nodes of a plurality of local area network architectures.
In the first embodiment, the summary node belongs to two local area networks, that is, two functions of the summary node belong to two local area networks; one function is the data uploading function of the original user electric meter, and belongs to a superior local area network; the other function is a data relay and summary function and belongs to a subordinate local area network.
The embodiment is further improved to form an embodiment II, and the specific measures are as follows: the concentrators are arranged beside the positions of the concentrator No. 0, the user electric meter No. 25 and the user electric meter No. 42, the concentrators manage the user electric meters in the network, the concentrators directly communicate with the master station server, and the network architecture diagram is shown in figure 4.
In the second embodiment, the summary node belongs to a single local area network and has only a data relay summary function; the network architecture of the second embodiment can reduce the function configuration of the user electric meter, and the user electric meter only has the data uploading function, so that the network construction cost is reduced.
Fig. 5 is a comparison of packet loss ratios of a conventional flooding algorithm and the algorithm of the present invention, and by comparing curves in the graphs, it can be obtained that the algorithm of the present invention has a lower packet loss ratio.
Compared with the traditional flooding algorithm, the algorithm has higher convergence speed, improves the data transmission efficiency and quality and further ensures the stability and reliability of the communication technology.
Claims (4)
1. A micropower wireless network communication method based on a biological fission algorithm is realized based on a low-voltage meter reading system, the low-voltage meter reading system comprises a main station server, a concentrator and a user electric meter group, the concentrator performs data interaction with the main station server by means of a serial port communication module, and the concentrator and the user electric meter perform data interaction by means of a micropower wireless communication module, and the micropower wireless network communication method is characterized by comprising the following steps:
1) Networking;
2) A communication step;
the networking step comprises the following steps:
1.1 All the user electric meters are set to be in an unorganized state, and the concentrator is set to be a starting point;
1.2 Calculating the association degree and the average association degree of all the non-networked user electric meters and the starting point;
1.3 The user electric meters with the relevance degree larger than the average relevance degree are assembled into a local area network taking the starting point as a summary node;
1.4 Selecting a user electric meter which is not a summary node in the established local area network as a starting point;
1.5 ) repeating steps 1.2) -1.4) until the amount of non-networked consumer electricity is less than P% of the total amount;
1.6 Incorporate the remaining unmanaged user meters into the last constructed local area network;
the communication step includes:
2.1 ) information delivery: the concentrator sends information, and the user ammeter receives the information; if the user electric meter is a summary node, continuing to send the received information;
2.2 Information upload): the user ammeter uploads information to a summary node of a local area network where the user ammeter is located; if the summarizing node is a user electric meter, the summarizing node uploads the received information to a superior summarizing node until reaching the concentrator;
the networking step uses a biological fission algorithm, comprising:
step A, setting all the user electric meters to be in an unorganized state, and calculating:
wherein the content of the first and second substances,
the position value of the t-th user electric meter;
when t =0 is the relative position value of the t-th user electric meter,
is the relative position value of the concentrator;
the value ranges of a and b are between 0 and 10; m represents the maximum number of user electric meters;
setting a concentrator as a starting point;
step B, calculating the association degree and the average association degree of the user electric meters which are not networked and the starting point;
wherein, the formula of the degree of association is:
the average correlation formula is:
wherein: m and n respectively represent weight, and the values of m and n are between 0 and 1 and satisfy m + n =1; the value range of epsilon is more than 0 and less than or equal to 10;
the value range is 0 <
≤1；
Representing the packet loss rate between the starting point and the user ammeter j; s is the number of user electric meters which are not networked;
step C, constructing a local area network by taking the initial point as a summary node of the user electric meters which are not networked and have the relevance degree larger than the average relevance degree;
step D, taking the user electric meters which are not the summary nodes in the recently-built local area network as preselection starting points, reassigning position values to the preselection starting points and the user electric meters which are not networked, calculating relative position values, and then calculating the association degree and the average association degree of the preselection starting points and the user electric meters which are not networked according to the method in the step B;
e, selecting a preselected starting point with the maximum average correlation degree with the user electric meters which are not networked as a summary node according to the result of the step D;
step F, selecting the non-networked user electric meters with the association degree of the summary nodes selected in the step E larger than the average association degree of the non-networked user electric meters and the summary nodes, and constructing a local area network with the summary nodes;
g, repeating the steps D, E and F until the number of the user electric meters which are not networked is less than P% of the total amount, and merging the rest user electric meters which are not networked into the local area network which is recently built;
step H, if the user electric meter is used as a summary node, the summary nodes are connected and managed step by step to form a network architecture for managing a plurality of local area networks step by step;
the formula of the reset position value in the step D is as follows:
wherein the content of the first and second substances,
representing the new location value of the r-th user meter,
a position value representing the last starting point,
representing the position value of the r-th user meter at the time of the last summing node,
representing the degree of association when the last summary node is calculated between the last summary node and the user electric meter r; the value range of beta is 0-1; w is in the range of 0<w<1。
2. The micro-power wireless network communication method based on the biological fission algorithm of claim 1, wherein the value range of the P% is between 4 and 6%.
3. The method of claim 1, wherein a concentrator is added at a location of the user meters as a summary node, the concentrator is added to replace the user meters as the summary node of the local area network, and the user meters are removed from the local area network.
4. The micro-power wireless network communication method based on the biological fission algorithm of claim 1, wherein the position value of the user electric meter is assigned from small to large according to the physical distance between the user electric meter and the starting point.
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